vioscale
Comparison

Dagster vs dlt

No clear leader: Dagster (70.4) and dlt (66.1) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

Dagster full profile →dlt full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Dagster70
dlt66
Score
Vioscale score
Dagster70 / 100medium · 68%updating
dlt66 / 100low · 49%updating
Pricing
Free tier
Dagster✓
dlt✓
Model
Price level
Dagsterlow
dltlow
Transparent
Dagster✓
dlt✓
Integrations
Count
Dagster14
dlt28
Security
Disclosure policy
Dagster✓
dlt✓
Gdpr
Dagster✓
dlt✓
Hipaa
Dagster✓
dlt–
Scorecard
Dagster4.8
dlt–
Soc2
Dagster✓
dlt–
Vulnerabilities
Reliability
Status page
Dagster–
dlt✓
Adoption
Dependent repos
Dagster286
dlt23
Github stars
Dagster16,066
dlt5,779
Package downloads weekly
Dagster2,176,853
dlt–
Activity
Commits last 30d
Dagster81
dlt52
Release
Cadence days
Dagster7
dlt12
History
License
Spdx
Language
Primary
DagsterPython
dltPython
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
DagsterOrchestrator
dltELT / ingestion
Processing paradigm
DagsterBatch
dltBatch + streaming
Connectivity
Connector count
Dagster-
dlt5,000+
CDC / log-based replication
Dagster✗
dlt✓
Transformation
In-warehouse transformation (push-down)
Dagster✗
dlt✓
dbt-native orchestration
Dagster✓
dlt-
Deployment
Self-hosted / open-source available
Dagster✓
dlt✓
Managed cloud available
Dagster✓
dlt✓
Governance
Data lineage / asset catalog
Dagster✓
dlt✓
Authoring
Python-first authoring
Dagster✓
dlt✓
Execution
Incremental / partition-aware runs
Dagster✓
dlt✓
Quality
Built-in data quality / tests
Dagster✓
dlt✓
Scale
Horizontal scale (distributed executor)
Dagster✓
dlt-

What each one is

The product in its own terms, so the numbers below have context.

Dagster

A unified orchestration and observability platform that manages data pipelines through assets, tracks dependencies and lineage, enforces data quality, and integrates with existing tools like dbt, Snowflake, and Spark. Supports both self-hosted open-source and managed cloud deployment.

Independently observed

dlt

A hosted service combining the open-source dlt Python library with managed infrastructure, observability, data quality testing, and team collaboration features for building and running data pipelines.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Dagster

from $0.01/moSubscription30-day trial

From $120/month. 30-day free trial. Subscription with metered credits (asset materializations and ops executed); serverless compute charged separately.

  • Solo$120/month with 7.5k credits/month included; overages at $0.040/credit
    • 1 User
    • 1 Code location
    • 1 Deployment
    • Core orchestration
    • Asset-based orchestration
    • +6 more
  • Starter$1200/month with 30k credits/month included; overages at $0.035/credit
    • Up to 3 Users
    • 5 Code locations
    • 1 Deployment
    • Catalog search
    • Column-level lineage
    • +8 more
  • Pro/EnterpriseContact sales
    • Unlimited code locations
    • Unlimited deployments
    • Custom serverless compute pricing
    • Cost tracking and insights
    • Personalized onboarding support
    • +8 more
as of verify ↗

dlt

from $0.80/moHybridFree tier14-day trial

From $1,190/month with 500 included credits. Free open-source tier. 14-day free trial with $30 credits.

  • dltFree
    • Apache 2.0 open-source license
    • Code-first ingestion library
    • Reliable ingestion and loading
    • Limited verified OSS connectors
    • AI help and community support
    • +2 more
  • dltHub$1,190/month base + $0.80–$1.00/credit for usage beyond 500 credits/month. 5% discount on annual commitment.
    • Everything in dlt, plus:
    • Managed runtime
    • Hosted Marimo notebooks
    • AI Workbench (Claude Code, Codex, Cursor)
    • Data quality metrics and checks
    • +6 more
  • EnterpriseContact sales
    • Custom credits and volume pricing
    • Enterprise security and governance controls
    • Role-based access control (RBAC) and audit logs
    • SLA and tailored support options
    • Custom onboarding and architecture guidance
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Dagster✓
dlt✓
CLI
Dagster✓
dlt✓
Deployment
Cloud / SaaS
Dagster✓
dlt✓
Self-hosted
Dagster✓
dlt✓
Hybrid
Dagster✓
dlt✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)
  • Snowflake
  • Databricks

Dagster

14 total - 12 not shared
  • dbt
  • Spark
  • Azure
  • AWS
  • Airbyte
  • Tableau
  • Soda
  • Slack
  • Microsoft Teams
  • PagerDuty
  • Datadog
  • Python
Independently observed

dlt

28 total - 26 not shared
  • Salesforce
  • PostgreSQL
  • HubSpot
  • BigQuery
  • MotherDuck
  • DuckDB
  • SQLite
  • MySQL
  • Amazon S3
  • Google Cloud Storage
  • Microsoft Azure
  • SFTP
  • Parquet
  • Apache Delta
  • Apache Iceberg
  • DuckLake
  • Pydantic Logfire
  • Arize
  • Langfuse
  • LangChain
  • OpenAI
  • Apache Airflow
  • Dagster
  • AWS Lambda
  • +2 more
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.